groq this

app.py

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+import streamlit as st
+import os
+from groq import Groq
+import random
+
+from langchain.chains import ConversationChain
+from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+from langchain_groq import ChatGroq
+from langchain.prompts import PromptTemplate
+
+
+def main():
+    """
+    This function is the main entry point of the application. It sets up the Groq client, the Streamlit interface, and handles the chat interaction.
+    """
+    
+    # Get Groq API key
+    groq_api_key = os.environ['GROQ_API_KEY']
+
+    # Display the Groq logo
+    spacer, col = st.columns([5, 1])  
+    with col:  
+        st.image('groqcloud_darkmode.png')
+
+    # The title and greeting message of the Streamlit application
+    st.title("Chat with Groq!")
+    st.write("Hello! I'm your friendly Groq chatbot. I can help answer your questions, provide information, or just chat. I'm also super fast! Let's start our conversation!")
+
+    # Add customization options to the sidebar
+    st.sidebar.title('Customization')
+    model = st.sidebar.selectbox(
+        'Choose a model',
+        ['llama3-8b-8192', 'mixtral-8x7b-32768', 'gemma-7b-it']
+    )
+    conversational_memory_length = st.sidebar.slider('Conversational memory length:', 1, 10, value = 5)
+
+    memory=ConversationBufferWindowMemory(k=conversational_memory_length)
+
+    user_question = st.text_input("Ask a question:")
+
+    # session state variable
+    if 'chat_history' not in st.session_state:
+        st.session_state.chat_history=[]
+    else:
+        for message in st.session_state.chat_history:
+            memory.save_context({'input':message['human']},{'output':message['AI']})
+
+
+    # Initialize Groq Langchain chat object and conversation
+    groq_chat = ChatGroq(
+            groq_api_key=groq_api_key, 
+            model_name=model
+    )
+
+    conversation = ConversationChain(
+            llm=groq_chat,
+            memory=memory
+    )
+
+    # If the user has asked a question,
+    if user_question:
+        
+        # The chatbot's answer is generated by sending the full prompt to the Groq API.
+        response = conversation(user_question)
+        message = {'human':user_question,'AI':response['response']}
+        st.session_state.chat_history.append(message)
+        st.write("Chatbot:", response['response'])
+
+if __name__ == "__main__":
+    main()
+
+
+
+
+

requirements.txt

@@ -0,0 +1,154 @@
+aiohttp==3.9.3
+aiosignal==1.3.1
+altair==5.2.0
+annotated-types==0.6.0
+anyio==3.6.2
+appnope==0.1.3
+argon2-cffi==21.3.0
+argon2-cffi-bindings==21.2.0
+asttokens==2.0.8
+async-timeout==4.0.3
+attrs==22.1.0
+backcall==0.2.0
+beautifulsoup4==4.11.1
+bleach==5.0.1
+blinker==1.7.0
+cachetools==5.3.2
+certifi==2024.2.2
+cffi==1.15.1
+charset-normalizer==3.3.2
+click==8.1.7
+dataclasses-json==0.6.4
+debugpy==1.6.3
+decorator==5.1.1
+defusedxml==0.7.1
+distro==1.9.0
+duckdb==0.9.2
+entrypoints==0.4
+executing==1.1.1
+fastjsonschema==2.16.2
+filelock==3.13.1
+frozenlist==1.4.1
+fsspec==2024.2.0
+gitdb==4.0.11
+GitPython==3.1.41
+groq==0.4.1
+h11==0.14.0
+httpcore==1.0.2
+httpx==0.26.0
+huggingface-hub==0.20.3
+idna==3.4
+importlib-metadata==7.0.1
+install==1.3.5
+ipykernel==6.16.1
+ipython==8.5.0
+ipython-genutils==0.2.0
+ipywidgets==8.0.2
+jedi==0.18.1
+Jinja2==3.1.2
+joblib==1.3.2
+jsonpatch==1.33
+jsonpointer==2.4
+jsonschema==4.16.0
+jupyter==1.0.0
+jupyter-console==6.4.4
+jupyter-server==1.21.0
+jupyter_client==7.4.3
+jupyter_core==4.11.2
+jupyterlab-pygments==0.2.2
+jupyterlab-widgets==3.0.3
+langchain==0.1.5
+langchain-community==0.0.19
+langchain-core==0.1.21
+langchain-groq==0.0.1
+langsmith==0.0.87
+markdown-it-py==3.0.0
+MarkupSafe==2.1.1
+marshmallow==3.20.2
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+mistune==2.0.4
+mpmath==1.3.0
+multidict==6.0.5
+mypy-extensions==1.0.0
+nbclassic==0.4.5
+nbclient==0.7.0
+nbconvert==7.2.2
+nbformat==5.7.0
+nest-asyncio==1.5.6
+networkx==3.2.1
+nltk==3.8.1
+notebook==6.5.1
+notebook_shim==0.2.0
+numpy==1.23.4
+openai==1.12.0
+packaging==23.2
+pandas==1.5.1
+pandocfilters==1.5.0
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+pillow==10.2.0
+pinecone-client==3.0.2
+prometheus-client==0.15.0
+prompt-toolkit==3.0.31
+protobuf==4.25.2
+psutil==5.9.3
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==15.0.0
+pycparser==2.21
+pydantic==2.6.1
+pydantic_core==2.16.2
+pydeck==0.8.1b0
+Pygments==2.13.0
+pyparsing==3.0.9
+pyrsistent==0.18.1
+python-dateutil==2.8.2
+pytz==2022.5
+PyYAML==6.0
+pyzmq==24.0.1
+qtconsole==5.3.2
+QtPy==2.2.1
+regex==2023.12.25
+requests==2.31.0
+rich==13.7.0
+safetensors==0.4.2
+scikit-learn==1.4.0
+scipy==1.12.0
+Send2Trash==1.8.0
+sentence-transformers==2.3.1
+sentencepiece==0.1.99
+six==1.16.0
+smmap==5.0.1
+sniffio==1.3.0
+soupsieve==2.3.2.post1
+SQLAlchemy==2.0.25
+sqlparse==0.4.4
+stack-data==0.5.1
+streamlit==1.31.0
+sympy==1.12
+tenacity==8.2.3
+terminado==0.16.0
+threadpoolctl==3.2.0
+tiktoken==0.6.0
+tinycss2==1.2.1
+tokenizers==0.15.1
+toml==0.10.2
+toolz==0.12.1
+torch==2.2.0
+tornado==6.2
+tqdm==4.66.1
+traitlets==5.5.0
+transformers==4.37.2
+typing-inspect==0.9.0
+typing_extensions==4.9.0
+tzlocal==5.2
+urllib3==2.2.0
+validators==0.22.0
+wcwidth==0.2.5
+webencodings==0.5.1
+websocket-client==1.4.1
+widgetsnbextension==4.0.3
+yarl==1.9.4
+zipp==3.17.0